Technical Field
[0001] The present invention relates to an optical signal analyzing apparatus and an optical
signal analyzing method.
Background Art
[0003] When the measured data is the integrated value of fluorescence intensities at different
spatial positions as in the case of the conventional technique described above, information
on fluctuations on a spatial axis is obtained, but information on fluctuations on
a time axis is not obtained. It is therefore impossible to observe the behavior or
interaction of living cells on the time axis. That is, the image of the fluorescence
intensities at the spatial positions alone does not enable the observation of changes
over time in, for example, reactions and interactions made in and out of the cells
or signal transmission within the cells.
Disclosure of the Invention
[0004] The present has been proposed in view of such circumstances, and is directed to provide
a fluorescent signal analyzing apparatus and a fluorescent signal analyzing method
that enable observation of changes over time.
[0005] A fluorescent signal analyzing apparatus according to the present invention includes
image input means to which at least one fluorescent image of a sample is input, storage
means for storing data on the at least one fluorescent image input to the image input
means, extraction means for extracting, for each of the fluorescent images, data on
a fluorescence intensity in a desired region on the at least one fluorescent image
from the data on the at least one fluorescent image stored in the storage means, and
analyzing means for calculating at least one of a correlation and a photon counting
histogram for the desired region by use of the data on the fluorescence intensity.
Brief Description of the Drawings
[0006]
FIG. 1 schematically shows an optical signal analyzing apparatus according to a first
embodiment of the present invention;
FIG. 2 is a function block diagram of a control unit shown in FIG. 1;
FIG. 3 shows a minimum delay time τ0 and a molecular diffusion time Dt on a correlation
curve;
FIG. 4 schematically shows a plurality of fluorescent images captured at predetermined
time intervals;
FIG. 5 is a flowchart of an optical signal analysis in the first embodiment;
FIG. 6 shows graphs of an analytic result;
FIG. 7 shows a luminance value of the analytic result;
FIG. 8 shows a table of the analytic result;
FIG. 9 shows a pin-point display of a numerical value of the analytic result; and
FIG. 10 is a flowchart of an optical signal analysis in a second embodiment.
Best Mode for Carrying out the Invention
[0007] Hereinafter, embodiments of the present invention will be described with reference
to the drawings.
<First Embodiment>
[0008] FCS/FCCS by extracted data for the same desired region
[0009] The present embodiment provides a technique for an analysis by extracting data at
the same spatial position from data for a plurality of fluorescent images of a sample.
[0010] FIG. 1 schematically shows an optical signal analyzing system according to a first
embodiment of the present invention. As shown in FIG. 1, an optical signal analyzing
system 100 includes a light applying section 110 for applying excitation light to
a sample S, an image capturing section 130 for repetitively capturing fluorescent
images of the sample S at predetermined time intervals, and an analyzing apparatus
160 for performing an optical signal analysis for the fluorescent images captured
by the image capturing section 130.
[0011] The light applying section 110 includes a light source 112, a mirror 116, a dichroic
mirror 122, a galvanometer mirror 124, and an objective lens 126. The light source
112 emits the excitation light for exciting fluorescent dyes contained in the sample
S to cause light (fluorescent light) to be emitted from the sample S. The mirror 116
reflects the excitation light emitted from the light source 112 toward the dichroic
mirror 122. The dichroic mirror 122 reflects the excitation light toward the galvanometer
mirror 124, and transmits the fluorescent light emitted from the sample S. The galvanometer
mirror 124 reflects the excitation light toward the objective lens 126, and also changes
the direction of the reflection. The objective lens 126 converges the excitation light
to apply it to a measurement point in the sample S, and also takes in light from the
measurement point in the sample S.
[0012] The image capturing section 130 shares the objective lens 126, the galvanometer mirror
124, and the dichroic mirror 122 with the light applying section 110. The image capturing
section 130 further includes a converging lens 132, a pin hole 134, a collimating
lens 136, a fluorescence filter 138, a converging lens 140, a photo detector 142,
a mirror control unit 144, and an image forming unit 146. The converging lens 132
converges the light transmitted through the dichroic mirror 122. The pin hole 134
is disposed at the focus of the converging lens 132. That is, the pin hole 134 is
located in conjugation with the measurement point in the sample S, so as to selectively
pass the light from the measurement point. The collimating lens 136 collimates the
light passed through the pin hole 134. The fluorescence filter 138 selectively transmits
the fluorescent light emitted from the sample S alone. The converging lens 140 converges
the fluorescent light that has passed through the fluorescence filter 138. The converging
lens 140 cooperates with the collimating lens 136 to project an image of the pin hole
134 onto the photo detector 142. The photo detector 142 outputs a signal corresponding
to the intensity of the incident light. That is, the photo detector 142 outputs a
fluctuation signal corresponding to the fluctuation of the light from the measurement
point in the sample S. The mirror control unit 144 controls the galvanometer mirror
124 so as to raster-scanned the application position of the excitation light over
a predetermined region of the sample S. The image forming unit 146 forms a fluorescent
image of the predetermined region of the sample S from information on the application
position of the excitation light input from the mirror control unit 144 and the output
signal of the photo detector 142.
[0013] The analyzing apparatus 160 is comprised of, for example, a personal computer. The
analyzing apparatus 160 performs the following operations: capture and display of
the whole image of the sample S, waiting for the input of specification of an observation
region and settings for a minimum delay time and a maximum delay time, selection of
a measurement point and determination of the position of the measurement point, analysis
(calculation of a pseudo number of molecules), and so on.
[0014] A function block of the analyzing apparatus shown in FIG. 1 is shown in FIG. 2. As
shown in FIG. 2, the analyzing apparatus 160 includes an image input unit 162, a storage
unit 164, an image reading unit 166, a display unit 168, an input unit 170, a data
extracting unit 172, and an analyzing unit 174. The analyzing apparatus 160 is composed
of, for example, a personal computer. A plurality of fluorescent images repetitively
captured by the image capturing section 130 at predetermined time intervals are input
to the image input unit 162. The storage unit 164 stores data on the plurality of
fluorescent images input to the image input unit 162. The image reading unit 166 reads
at least one of the plurality of fluorescent images stored in the storage unit 164.
The display unit 168 displays the fluorescent image read by the image reading unit
166. The input unit 170, which includes, for example, a mouse and a keyboard, cooperates
with the display unit 168 to form a GUI. This GUI is used by an operator to specify
a desired region targeted for an optical signal analysis on the fluorescent image
displayed on the display unit 168. The data extracting unit 172 extracts, for each
of the fluorescent images, data on fluorescence intensities in desired regions on
the plurality of fluorescent images from the data on the plurality of fluorescent
images stored in the storage unit 164. The analyzing unit 174 calculates a correlation
and a photon counting histogram for the desired region by use of the data on the fluorescence
intensities extracted by the data extracting unit 172. Moreover, the display unit
168 displays an analytic result (the correlation and the photon counting histogram)
by the analyzing unit 174, and the GUI composed of the display unit 168 and the input
unit 170 is used to specify the way of displaying the analytic result.
[0015] In FIG. 1, the excitation light emitted from the light source 112 is applied to the
measurement point in the sample S through the mirror 116, the dichroic mirror 122,
the galvanometer mirror 124, and the objective lens 126. The measurement point to
which the excitation light is applied is raster-scanned by the galvanometer mirror
124. The sample S that has received the excitation light emits fluorescent light from
the measurement point. The light (including, for example, undesired reflected light
in addition to the fluorescent light) from the sample S reaches the pin hole 134 through
the objective lens 126, the galvanometer mirror 124, the dichroic mirror 122, and
the converging lens 132. Since the pin hole 134 is located in conjugation with the
measurement point, the only light from the measurement point in the sample S passes
through the pin hole 134. The light that has passed through the pin hole 134, that
is, the light from the measurement point in the sample S reaches the fluorescence
filter 138 through the collimating lens 136, and the only fluorescent light emitted
from the measurement point in the sample S passes through the fluorescence filter
138. The fluorescent light that has passed through the fluorescence filter 138 enters
the photo detector 142 through the converging lens 140. The photo detector 142 outputs,
to the image forming unit 146, a signal corresponding to the intensity of the fluorescent
light emitted from the measurement point in the sample S. From information on the
application position of the excitation light input from the mirror control unit 144
and the output signal of the photo detector 142, the image forming unit 146 forms
a fluorescent image composed of the distributions of the intensities of the fluorescent
light emitted from the sample S in response to the application of the excitation light.
The fluorescent image is input to the analyzing apparatus 160 and analyzed.
[0016] In the present embodiment, first, the excitation light is successively applied to
different parts of the sample S by the galvanometer mirror 124 to capture one fluorescent
image. Then, without ending the fluorescent image collection with the capture of one
fluorescent image, the second and third fluorescent images and so forth are repeatedly
captured at predetermined time intervals under the same conditions and procedure as
described above to capture a plurality of fluorescent images. That is, the plurality
of fluorescent images are obtained by repetitively scanning the same region of the
same sample in a similar order. Thus, information on the change of the fluorescence
intensities in the same desired region over time is obtained, by extraction for each
of the fluorescent images, from the stored data on the plurality of fluorescent images.
[0017] The captured data on the plurality of fluorescent images is input to the image input
unit 162 and stored in the storage unit 164. From the data on the plurality of fluorescent
images stored in the storage unit 164, data on the fluorescence intensities in the
same desired region is extracted, for each of the fluorescent images, by the data
extracting unit 172. The extracted data is sent to the analyzing unit 174 to be used
for a correlation analysis and a photon counting histogram analysis for the same desired
region or used for data reconstruction, a correlation analysis, and a photon counting
histogram analysis for the same desired region.
[0018] The optical signal analysis in the present embodiment is described below along with
the flowchart in FIG. 5.
[Step S101]
[0019] The number of fluorescent images to be captured is specified.
[0020] The time intervals (predetermined time intervals) for capturing fluorescent images
are set.
[0021] As apparent from FIG. 3, the time interval for capturing the fluorescent image corresponds
to a delay time τ0 of a minimum plot point of a correlation curve. A molecular diffusion
time Dt of the sample S can be estimated from G(Dt) ≈ [G(τ0)-1]/2. Therefore, when
τ0 > Dt, it is impossible to estimate Dt from the drawn correlation curve, and an
error resulting from fitting is great. Moreover, the molecular diffusion time Dt varies
sample by sample. Thus, the time interval for capturing the fluorescent image is set
to be shorter than the shortest molecular diffusion time Dt of the sample to be obtained
by an analysis.
[Step S102]
[0022] Fluorescent images of the same region in the sample are repetitively captured at
the predetermined time intervals. The plurality of fluorescent images captured at
the predetermined time intervals are schematically shown in FIG. 4.
[Step S103]
[0023] The plurality of captured fluorescent images are input to the image input unit 162.
[Step S104]
[0024] Data on the plurality of input fluorescent images is stored in the storage unit 164.
[Step S105]
[0025] A desired region (a pixel region including a single pixel or a pixel region including
a plurality of adjacent pixels) in the sample to be correlationally analyzed is specified.
[Step S106]
[0026] Whether the desired region is the pixel region including a single pixel is judged.
If yes, the flow moves to step S107. If no, the flow moves to step S108.
[Steps S106→S107→S109→S110]
[0027] If the desired region is the pixel region including a single pixel, then, in step
S107, data on fluorescence intensities in the specified desired region is extracted,
for each of the fluorescent images, from the data on the plurality of input fluorescent
images stored in the storage unit 164.
[0028] In step S109, the number of molecules and a diffusion time are analyzed and evaluated
by, for example, a correlation operation and fitting with regard to the extracted
data on the fluorescence intensities in the desired region.
[0029] An equation for an autocorrelation analysis at a measurement point P is represented
by Equation (1):

wherein D is the data for a desired region P, and N is the total number of data.
[0030] Furthermore, in step S110, a photon counting histogram analyzing method is applied
to the extracted data on the fluorescence intensities in the desired region.
[Steps S106→S108→S109→S110]
[0031] If the desired region is not the pixel region including a single pixel, that is,
if the desired region is the pixel region including a plurality of adjacent pixels,
then, in step S108, a statistic of the data on the fluorescence intensities in the
pixel region, such as one of an integrated value, an average value, a maximum value,
a minimum value, a relative difference, and an absolute difference, is calculated
for each of the fluorescent images from the stored data on the plurality of fluorescent
images.
[0032] Furthermore, data for the specified same desired region (pixel region) is extracted
from each of the results of the reconstruction of the plurality of data.
[0033] Using the results of the reconstruction of the plurality of data, the number of molecules
and the diffusion time are analyzed and evaluated in step S109 by, for example, a
correlation operation and fitting with regard to the same desired region (pixel region).
[0034] Using the results of the reconstruction of the plurality of data, the photon counting
histogram analyzing method is applied to the same desired region (pixel region) in
step S110.
[Step S111]
[0035] The calculation result in each step is displayed on the display unit 168, for example,
as graphs as shown in FIG. 6, or as a luminance value as shown in FIG. 7, or as a
table as shown in FIG. 8, or as a pin-point displayed numerical value as shown in
FIG. 9. Preferably, the calculation result should be displayed on the display unit
168 by one or more display manner including the luminance, table, graph, and numerical
value.
[0036] The upper part of FIG. 6 shows a correlation curve for one desired region, and the
lower part of FIG. 6 shows, by a curve, photon counting data or statistics for one
desired region at different times. FIG. 7 shows, by a luminance value, the photon
counting data or statistics for one desired region at different times. Alternatively,
FIG. 7 shows, by the luminance value, statistics or correlation parameters (e.g.,
the number of molecules) for a plurality of desired parts. FIG. 8 shows, by a table,
the photon counting data or statistics for one desired region at different times.
Alternatively, FIG. 8 shows, by the table, statistics or correlation parameters (e.g.,
the number of molecules) for a plurality of desired parts. FIG. 9 shows, by a luminance
value, the photon counting data or statistics for one desired region at different
times, and also shows its pin-point value as data. Alternatively, FIG. 9 shows, by
the table, statistics or correlation parameters (e.g., the number of molecules) for
a plurality of desired parts, and also shows their pin-point values as data.
[0037] In the present embodiment, data on fluorescence intensities in the same region is
extracted from a plurality of fluorescent images captured at predetermined time intervals,
and then the number of molecules and the diffusion time are analyzed and evaluated
by, for example, a correlation operation and fitting, or the photon counting histogram
analyzing method is applied, which enables observing changes over time in, for example,
reactions, and interactions made in and out of the sample S or signal transmission
within the sample S. Further, analytic results are indicated by the graphs, luminance
value, table or pin-point display, which enables observing and evaluating the physical
properties of the sample from many perspectives.
[0038] Although the analysis from the data on a plurality of fluorescent images has been
described here by way of example, the analysis may be performed from the data on a
single fluorescent image.
<Second Embodiment>
[0039] FCS/FCCS by extracted data for different desired regions
[0040] The present embodiment provides a technique of an analysis by extracting data at
different spatial positions from data for a plurality of fluorescent images of a sample.
[0041] An optical signal analyzing system according to the present embodiment is basically
the same in configuration as the optical signal analyzing system in the first embodiment.
The present embodiment is different in that instead of only extracting data for the
same desired region from a plurality of fluorescent images, data for a plurality of
specified different desired regions are extracted and correlationally analyzed.
[0042] That is, the present embodiment is the same as the first embodiment in the procedure
ranging from the capture to storage of a plurality of fluorescent images.
[0043] However, the main point in the technique of the present embodiment is that the photon
counting histogram analyzing method and a correlation analysis method for different
desired regions are applied to the analysis of stored data.
[0044] The optical signal analysis in the present embodiment is described below along with
the flowchart in FIG. 10.
[Step S201]
[0045] The number of fluorescent images to be captured is specified.
[0046] The time intervals (predetermined time intervals) for capturing fluorescent images
are set.
[Step S202]
[0047] Fluorescent images of a sample at the predetermined time intervals are captured.
[Step S203]
[0048] The plurality of captured fluorescent images are input to the image input unit 162.
[Step S204]
[0049] Data on the input fluorescent images is stored in the storage unit 164.
[Step S205]
[0050] A plurality of desired regions (pixel regions including single pixels or pixel regions
including a plurality of adjacent pixels) in the sample to be correlationally analyzed
are specified.
[Step S206]
[0051] Whether the desired regions are the pixel regions including single pixels is judged.
If yes, the flow moves to step S207. If no, the flow moves to step S208.
[Steps S206→S207→S209→S210]
[0052] If the desired regions are the pixel regions including single pixels, then, in step
S207, data for the plurality of specified desired regions is extracted, for each of
the fluorescent images, from the stored data for the plurality of fluorescent images.
[0053] In step S209, the number of molecules and the diffusion time are analyzed and evaluated
by, for example, a correlation operation and fitting with regard to the extracted
data for the identical desired regions or the extracted data for the different desired
regions.
[0054] Furthermore, in step S210, the photon counting histogram analyzing method is applied
to the extracted data for the identical desired regions or the extracted data for
the different desired regions.
[Steps S206→S208→S209→S210]
[0055] If the plurality of desired regions are not the pixel regions including single pixels,
that is, if the plurality of desired regions are the pixel regions including a plurality
of adjacent pixels, then, in step S208, statistics of the data for the fluorescence
intensities in the plurality of pixel regions, such as statistics of an integrated
value, an average value, a maximum value, a minimum value, a difference relative to
a certain pixel, and an absolute difference, is calculated in step S208 for each of
the fluorescent images from the stored data on the plurality of fluorescent images.
[0056] Furthermore, data on the plurality of specified identical desired regions (pixel
regions) are extracted from the results of the reconstruction of the plurality of
data.
[0057] Using the results of the reconstruction of the plurality of data, the number of molecules
and the diffusion time are analyzed and evaluated in step S209 by, for example, a
correlation operation and fitting with regard to the extracted data for the identical
desired regions or the different desired regions.
[0058] Equation (1) is used for the identical desired regions and Equation (2) is used for
the different desired regions in order to correlationally analyze these regions.

wherein D
1 is the data for a desired region P
1, D
2 is the data for a desired region P
2, and N
12 is smaller one of the numbers of data for D
1 and D
2.
[0059] Using the results of the reconstruction of the plurality of data, the photon counting
histogram analyzing method is applied in step S210 to the extracted data for the identical
desired regions or the different desired regions.
[Step S211]
[0060] The calculation result in each step is displayed on the display unit 168, for example,
as graphs as shown in FIG. 5, or as an image representing by a luminance value as
shown in FIG. 6, or as a table as shown in FIG. 7, or as a pin-point displayed numerical
value as shown in FIG. 8. Preferably, the calculation result should be displayed on
the display unit 168 by one or more display manner including the luminance, table,
graph, and numerical value.
[0061] In the present embodiment, data on fluorescence intensities in the same region is
extracted from a plurality of fluorescent images captured at predetermined time intervals,
and then the number of molecules and the diffusion time are analyzed and evaluated
by, for example, a correlation operation and fitting, or the photon counting histogram
analyzing method is applied, which enables observing changes over time in, for example,
reactions and interactions made in and out of the sample S or signal transmission
within the sample S. Further, analytic results are indicated by the graph, luminance
values, table or pin-point display, which enables observing and evaluating the physical
properties of the sample from many perspectives.
[0062] Although the analysis from the data on a plurality of fluorescent images has been
described here by way of example, the analysis may be performed from the data on a
single fluorescent image.
[0063] While the embodiments of the present invention have been described above with reference
to the drawings, the present invention is not limited to these embodiments, and various
modifications or alterations may be made without departing from the spirit thereof.
[0064] In the embodiments described above, the fluorescent image is formed by the distributions
of the intensities of the fluorescent light emitted from the sample in response to
the application of the excitation light. However, the fluorescent image may be obtained
by a laser scanning microscope.
Industrial Applicability
[0065] The present invention provides a fluorescent signal analyzing apparatus and a fluorescent
signal analyzing method that enable observation of changes over time.
1. A fluorescent signal analyzing apparatus comprising:
image input means to which at least one fluorescent image of a sample is input;
storage means for storing data on the at least one fluorescent image input to the
image input means;
extraction means for extracting, for each of the fluorescent images, data on a fluorescence
intensity in a desired region on the at least one fluorescent image from the data
on the at least one fluorescent image stored in the storage means; and
analyzing means for calculating at least one of a correlation and a photon counting
histogram for the desired region by use of the data on the fluorescence intensity.
2. The fluorescent signal analyzing apparatus according to claim 1, wherein a plurality
of fluorescent images of the sample repetitively captured at predetermined time intervals
are input to the image input means; the storage means stores data on the plurality
of fluorescent images; and the extraction means extracts, for each of the fluorescent
images, data on fluorescence intensities in desired regions on the plurality of fluorescent
images from the data on the plurality of fluorescent images stored in the storage
means.
3. The fluorescent signal analyzing apparatus according to claim 1, wherein the desired
region is a pixel region including a single pixel.
4. The fluorescent signal analyzing apparatus according to claim 1, wherein the desired
region is a pixel region including a plurality of pixels.
5. The fluorescent signal analyzing apparatus according to claim 4, wherein the data
on the fluorescence intensities is a statistic of the fluorescence intensities of
the plurality of pixels.
6. The fluorescent signal analyzing apparatus according to claim 5, wherein the statistic
is one of an integrated value, an average value, a maximum value, a minimum value,
a relative difference, and an absolute difference of the fluorescence intensities
of the plurality of pixels.
7. The fluorescent signal analyzing apparatus according to claim 1, wherein the fluorescent
image is composed of distributions of the fluorescence intensities.
8. The fluorescent signal analyzing apparatus according to claim 1, wherein the analyzing
means calculates a diffusion time by further using the predetermined time intervals.
9. The fluorescent signal analyzing apparatus according to claim 1, further comprising
region specifying means for specifying the desired region.
10. The fluorescent signal analyzing apparatus according to claim 1, further comprising
display means for displaying, by at least one of luminance, a table, a graph, and
a numerical value, a result calculated by the analyzing means.
11. The fluorescent signal analyzing apparatus according to claim 1, further comprising:
display means for displaying at least one of the at least one of the fluorescent images
stored in the storage means; and
region specifying means for specifying the desired region on the fluorescent image
displayed on the display means.
12. A fluorescent signal analyzing method comprising steps of:
storing data on at least one fluorescent image of a sample;
extracting, for each of the fluorescent images, data on a fluorescence intensity in
a desired region on the at least one fluorescent image from the stored data on the
at least one fluorescent image; and
calculating at least one of a correlation and a photon counting histogram for the
desired region by use of the extracted data on the fluorescence intensity.
13. The fluorescent signal analyzing method according to claim 12, wherein the storing
step includes storing data on a plurality of fluorescent images of the sample repetitively
captured at predetermined time intervals, and the extracting step includes extracting,
for each of the fluorescent images, data on fluorescence intensities in desired regions
on the plurality of fluorescent images from the stored data on the plurality of fluorescent
images.
14. The fluorescent signal analyzing method according to claim 12, wherein the desired
region is a pixel region including a single pixel.
15. The fluorescent signal analyzing method according to claim 12, wherein the desired
region is a pixel region including a plurality of pixels.
16. The fluorescent signal analyzing method according to claim 15, wherein the data on
the fluorescence intensities is a statistic of the fluorescence intensities of the
plurality of pixels.
17. The fluorescent signal analyzing method according to claim 16, wherein the statistic
is one of an integrated value, an average value, a maximum value, a minimum value,
a relative difference and an absolute difference of the fluorescence intensities of
the plurality of pixels.
18. The fluorescent signal analyzing method according to claim 12, wherein the fluorescent
image is composed of distributions of the intensities of fluorescent light emitted
from the sample in response to the application of excitation light.
19. The fluorescent signal analyzing method according to claim 12, further comprising
a step of calculating a diffusion time by using the predetermined time intervals.
20. The fluorescent signal analyzing method according to claim 12, further comprising
a step of displaying an analytic result by at least one of luminance, a table, a graph
and a numerical value.
21. The fluorescent signal analyzing method according to claim 12, further comprising
steps of:
displaying at least one of the at least one of the fluorescent images; and
specifying the desired region on the displayed fluorescent image.